fix: resolve JavaScript errors in chat interface and tRPC integration#77
fix: resolve JavaScript errors in chat interface and tRPC integration#77Jackson57279 merged 10 commits intomainfrom
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…d rate limiting - Add clustering support based on available CPU cores and environment settings - Integrate PostHog analytics for API request and server metrics tracking - Implement rate limiting with IP validation and bounded in-memory storage - Enhance VercelRequest and VercelResponse interfaces with robust parsing and security headers - Improve CORS handling with origin allowlists and credential support - Validate and sanitize API endpoint paths to prevent directory traversal attacks - Add request body size limit and enforce request timeout handling - Provide structured logging for requests, responses, errors, and server lifecycle events - Add health endpoint with uptime, metrics, environment, and version info - Support graceful shutdown with analytics capture on termination signals - Update create-checkout-session API with stricter CORS origin checks and OPTIONS method handling - Refine hono-polar API subscription syncing with date object conversions and improved checkout flow - Enhance secret-chat API error handling with detailed status codes and messages - Update service worker cache revision for production deployment
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
High Priority Fixes: - Replace vulnerable regex patterns in IP validation with safe string operations - Secure cookie parsing with Object.create(null) to prevent prototype pollution - Enhanced file system operations with additional validation layers - Add PostHog analytics payload size limits (32KB) and comprehensive PII sanitization - Implement error message sanitization to prevent information leakage Security Improvements: - Safe IPv4/IPv6 validation without regex DoS vulnerability - Cookie name/value validation with length limits and safe patterns - Multi-layer path traversal protection for API endpoint resolution - PII pattern detection and redaction for analytics - Development vs production error handling with safe messaging - ESLint security rule compliance with appropriate exemptions for validated cases 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
…ration limits - Updated regex patterns for sanitizing metadata, navigation, images, stylesheets, scripts, fonts, and meta tags to prevent potential vulnerabilities. - Implemented iteration limits to avoid catastrophic backtracking in regex operations. - Added validation checks for extracted URLs and text to ensure safety and compliance with length restrictions. This commit addresses security concerns and improves the robustness of HTML content extraction.
- Resolved CORS configuration conflict in api-dev-server.ts using secure whitelist approach - Resolved git provider detection conflict in lib/deployment/netlify.ts using comprehensive URL parsing - Fixed regex escape character issue in netlify.ts for security compliance 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
**HIGH RISK - CORS Misconfiguration Fixed:** - Separate trusted origins from allowed origins in api-dev-server.ts - Only enable credentials for explicitly trusted domains - Prevent credential hijacking via dynamic origin setting **MEDIUM RISK - URL Validation Bypass Fixed:** - Replace vulnerable substring matching with secure hostname validation - Use proper URL parsing to prevent domain spoofing attacks - Affected files: netlify.ts and vercel.ts deployment services **MEDIUM RISK - Information Exposure Prevention:** - Enhanced error sanitization in both development and production modes - Remove ALL sensitive paths, environment variables, credentials from error messages - Stricter character limits and complete information sanitization Security improvements protect against: - Credential theft via CORS misconfiguration - Domain spoofing attacks (evil.com/github.com bypasses) - Internal system information disclosure through error messages 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Fix Promise being passed to Convex in EnhancedChatInterface.tsx by properly consuming textStream - Fix 404 error on tRPC billing endpoint by correcting URL path to /hono/trpc/ - Add robust array checks to prevent Se.map undefined errors - Improve metadata handling with proper values instead of undefined - Enhanced error handling and logging for tRPC requests 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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WalkthroughThe PR updates dependencies, switches AI model identifiers and pricing in ai.ts, adds streaming response handling with length capping in EnhancedChatInterface, and changes the subscription fetch in useUsageTracking to a tRPC POST endpoint with revised headers and error handling. Various type guards and metadata assignments were added. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor User
participant UI as EnhancedChatInterface
participant AI as AI Response Source
User->>UI: Send message
UI->>AI: Request response
alt Streaming (AsyncIterable)
AI-->>UI: text chunks
loop accumulate (cap 50k chars)
UI->>UI: append chunk
end
UI->>UI: estimate tokens, set cost metadata
else String/Other
AI-->>UI: final text
UI->>UI: set content, estimate tokens, set cost
end
UI-->>User: Render assistant message
note over UI: Guards for messages/chats shape
sequenceDiagram
autonumber
participant Hook as useUsageTracking
participant API as /hono/trpc/billing.getUserSubscription
Hook->>API: POST with JSON {} + credentials (+Authorization if token)
alt 2xx
API-->>Hook: JSON tRPC envelope
Hook->>Hook: return result.data or null
else non-OK / error
API-->>Hook: status/statusText
Hook->>Hook: log error and return null
end
sequenceDiagram
autonumber
participant Caller as Call Site
participant AIlib as src/lib/ai.ts
Caller->>AIlib: generate/stream (no API change)
AIlib->>AIlib: select model = moonshotai/kimi-k2-instruct
AIlib->>AIlib: temperature = 0.6
AIlib->>AIlib: compute pricing & telemetry with new model
AIlib-->>Caller: output + cost metadata
note over AIlib: Caching keys & spans use new model id
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Take the more secure origin validation from main branch that includes additional isValidOrigin checks for both trusted and allowed origins. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Claude finished @otdoges's task —— View job PR Review Complete ✅I've thoroughly reviewed this PR and the fixes look solid overall. Here's my detailed feedback: Review Tasks:
✅ Positive Changes1. Promise Handling Fix (EnhancedChatInterface.tsx:144-169)Excellent fix! The streaming response handling is now properly implemented:
2. tRPC Endpoint Correction (useUsageTracking.ts:159)Good catch! The URL path correction:
3. Enhanced Array SafetySmart defensive programming:
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src/lib/ai.ts (1)
21-22: Bug:loggeris undefined — Sentry React SDK doesn’t exportlogger
const { logger } = Sentry;yieldsundefinedat runtime, causingCannot read properties of undefined (reading 'info')the moment logging is used. Use your project logger (as elsewhere) or fallback toconsole.Apply:
-import * as Sentry from '@sentry/react' +import * as Sentry from '@sentry/react' +import { logger } from '@/lib/error-handler' @@ -const { logger } = Sentry;If you prefer not to depend on the app logger here, replace calls with
console.
🧹 Nitpick comments (15)
package.json (1)
126-126: Two HTML sanitization libs — consider consolidationYou now have both
sanitize-htmlanddompurifyin dependencies. Running two sanitization approaches tends to fragment XSS handling. Prefer a single, audited path and standardize via asanitizeTexthelper used across components.Happy to provide a repo-wide codemod to funnel all sanitization through one function.
src/hooks/useUsageTracking.ts (3)
158-169: tRPC HTTP call shape: header casing and body format
- Header: use canonical
Authorizationcasing. Header names are case-insensitive but consistent casing avoids surprises in some middleware.- Body: a raw
{}may not match tRPC’s expected payload shape depending on your Hono adapter configuration. Some setups expect JSON-RPC envelopes or aninputfield. If this works locally, great—otherwise switch to a typed tRPC client and avoid manual fetch plumbing.Apply header casing fix locally:
- headers: { - 'Content-Type': 'application/json', - ...(token ? { authorization: `Bearer ${token}` } : {}), - }, + headers: { + 'Content-Type': 'application/json', + ...(token ? { Authorization: `Bearer ${token}` } : {}), + },Optional hardening (timeout + accept):
- const res = await fetch(url, { + const res = await fetch(url, { method: 'POST', // tRPC queries use POST headers: { 'Content-Type': 'application/json', ...(token ? { Authorization: `Bearer ${token}` } : {}), }, body: JSON.stringify({}), // Empty body for query credentials: 'include', + signal: AbortSignal.timeout(15000), + // accept JSON explicitly (some proxies/edges are picky) + // headers: { Accept: 'application/json', ... } });Longer-term: use a typed tRPC client with
httpBatchLinkto/hono/trpcso the request shape and response typing are guaranteed by the router. I can sketch this if you want.
170-176: Surface non-2xx body for diagnostics (optional)You already log status/statusText. When debugging, dumping a short preview of the error payload (if JSON) dramatically speeds up triage.
- if (!res.ok) { - console.error('tRPC subscription fetch failed:', res.status, res.statusText); - return null; - } + if (!res.ok) { + let bodyPreview = ''; + try { bodyPreview = JSON.stringify(await res.clone().json()).slice(0, 300); } catch {} + console.error('tRPC subscription fetch failed:', res.status, res.statusText, bodyPreview); + return null; + }
174-179: Return type is implicit and untyped — leverage tRPC types
json?.result?.data ?? nullis fine at runtime, but we lose type safety. Prefer using your router’s output type (e.g.,RouterOutputs['billing']['getUserSubscription']) so consumers ofgetSubscription()are type-safe.If you can expose your
AppRoutertype, I can wire this hook to infer the exact return type and replace the manual fetch with a typed client call.src/lib/ai.ts (5)
29-33: Model pricing constants — verify rates and centralize model IDGood to encapsulate pricing. Two suggestions:
- Verify
moonshotai/kimi-k2-instructis supported by Groq and the rates are correct for your account/region.- Extract the model ID into a constant to avoid typos and duplicated string literals.
-const MODEL_PRICING = { - 'moonshotai/kimi-k2-instruct': { +const MODEL_ID = 'moonshotai/kimi-k2-instruct' as const; +const MODEL_PRICING = { + [MODEL_ID]: { // Pricing based on Groq docs: $1.00 / 1M input tokens, $3.00 / 333,333 output tokens input: 1.00 / 1_000_000, output: 3.00 / 333_333, } };Follow-up: replace repeated
'moonshotai/kimi-k2-instruct'usages withMODEL_IDthroughout this file.
160-167: Deduplicate hard-coded model string; add max tokens to control costYou repeatedly embed the same model ID and omit an explicit
maxTokens. Centralizing the ID improves maintainability, and settingmaxTokenshelps bound costs and latency.Apply a subset of these replacements (assuming
MODEL_IDfrom above):-return (await groq)('moonshotai/kimi-k2-instruct'); +return (await groq)(MODEL_ID); @@ -return groq('moonshotai/kimi-k2-instruct'); +return groq(MODEL_ID); @@ - aiMonitoring.recordOperation({ + aiMonitoring.recordOperation({ operation: 'generateText', - model: 'moonshotai/kimi-k2-instruct', + model: MODEL_ID, @@ - const estimatedCost = calculateCost('moonshotai/kimi-k2-instruct', estimatedInputTokens, estimatedOutputTokens); + const estimatedCost = calculateCost(MODEL_ID, estimatedInputTokens, estimatedOutputTokens); @@ - span.setAttribute("model", "moonshotai/kimi-k2-instruct"); + span.setAttribute("model", MODEL_ID); @@ - () => withTimeout(generateText({ + () => withTimeout(generateText({ model: currentModel, prompt, - temperature: 0.6, + temperature: 0.6, + maxTokens: 1500, }), 60_000), 'generateText', - { model: 'moonshotai/kimi-k2-instruct', promptLength: prompt.length } + { model: MODEL_ID, promptLength: prompt.length } @@ - const actualCost = usage ? calculateCost('moonshotai/kimi-k2-instruct', usage.inputTokens || 0, usage.outputTokens || 0) : estimatedCost; + const actualCost = usage ? calculateCost(MODEL_ID, usage.inputTokens || 0, usage.outputTokens || 0) : estimatedCost; @@ - model: 'moonshotai/kimi-k2-instruct', + model: MODEL_ID, @@ - model: "moonshotai/kimi-k2-instruct", + model: MODEL_ID, @@ - model: 'moonshotai/kimi-k2-instruct', + model: MODEL_ID, @@ - const estimatedCost = calculateCost('moonshotai/kimi-k2-instruct', estimatedInputTokens, estimatedOutputTokens); + const estimatedCost = calculateCost(MODEL_ID, estimatedInputTokens, estimatedOutputTokens); @@ - span.setAttribute("model", "moonshotai/kimi-k2-instruct"); + span.setAttribute("model", MODEL_ID); @@ - async () => streamText({ - model: await model, + async () => streamText({ + model: model, messages: [ { role: 'system', content: systemPrompt }, { role: 'user', content: prompt } ], - temperature: 0.6, + temperature: 0.6, + maxTokens: 1500, }), 'streamText', - { model: 'moonshotai/kimi-k2-instruct', promptLength: prompt.length } + { model: MODEL_ID, promptLength: prompt.length } @@ - model: 'moonshotai/kimi-k2-instruct', + model: MODEL_ID, @@ - model: "moonshotai/kimi-k2-instruct", + model: MODEL_ID, @@ - model: 'moonshotai/kimi-k2-instruct', + model: MODEL_ID,Also applies to: 184-185, 219-221, 231-231, 239-242, 248-249, 252-253, 266-266, 275-275, 300-301, 370-370, 381-381, 392-395, 404-405, 412-412, 418-418
401-409: Cost accounting on streaming uses estimated cost onlyFor streaming you
addTodayCost(estimatedCost)and record estimated tokens. If the SDK exposes actual usage upon stream completion, consider reconciling the estimate to avoid over/under‑charging.If we can extract
usagefrom the stream result or final aggregated text length, I can wire a reconciliation step and adjust daily cost accordingly.
164-167: Function name drift:getGemmaModelno longer returns GemmaIt now returns Kimi. Rename to
getTitleModelor similar to prevent confusion for future maintainers.I can include the rename and update call sites in this PR if you want.
482-498: Explicit return types for exported APIs
generateAIResponse,streamAIResponse, andgenerateChatTitleFromMessagesrely on inference. For exported functions, add explicit return types to satisfy strict TS guidance and improve DX.Example pattern:
type StreamResult = Awaited<ReturnType<typeof streamText>>; export async function generateAIResponse(...): Promise<string> { ... } export async function streamAIResponse(...): Promise<StreamResult> { ... } export async function generateChatTitleFromMessages(...): Promise<string> { ... }src/components/EnhancedChatInterface.tsx (6)
151-166: Good fix: consumetextStreamto avoid passing a Promise to ConvexThe chunked consumption and 50k cap solve the earlier runtime error and add a safety bound. Two small refinements:
- Hoist
50000into a named constant for discoverability and consistency with other security limits.- Consider progressive UI updates (append chunks to a “draft assistant bubble”) for better UX; current approach waits until completion.
Add a local constant near the top of the file:
const MAX_STREAM_RESPONSE_LENGTH = 50_000 as const;Then:
- if (totalLength > 50000) { + if (totalLength > MAX_STREAM_RESPONSE_LENGTH) { break; } @@ - responseContent = chunks.join('').slice(0, 50000); + responseContent = chunks.join('').slice(0, MAX_STREAM_RESPONSE_LENGTH);
172-181: Sanitize AI output before storing; align metadata with model in ai.ts
- Sanitize
responseContentbefore saving to Convex to reduce XSS risk on render. Even if you render safely elsewhere, normalizing at write-time is safer.- The metadata
model: 'ai-assistant'is vague. Consider syncing with the actual model ID used inai.tsto keep analytics consistent.- await createMessageMutation({ + await createMessageMutation({ chatId: currentChatId as Id<'chats'>, - content: responseContent, + content: sanitizeText ? sanitizeText(responseContent) : responseContent, role: 'assistant', metadata: { - model: 'ai-assistant', + model: 'moonshotai/kimi-k2-instruct', // or import a shared MODEL_ID tokens: Math.floor(responseContent.length / 4), // Rough estimate cost: 0.01 // Default cost } });If
sanitizeTextisn’t available from@/utils/security, I can add it and standardize usage.
184-190: Title generation trigger may be flaky for “first message”You check
messages.messages.length === 0after creating the user message. Depending on Convex subscription timing, this might still be 0 or already 1. A more robust signal is to branch on whether we just created a new chat.- if (messages && typeof messages === 'object' && 'messages' in messages && Array.isArray(messages.messages) && messages.messages.length === 0) { + const isNewChat = !selectedChatId; + if (isNewChat) { await generateChatTitleFromMessages([ { content: userInput, role: 'user' }, { content: responseContent, role: 'assistant' } ]); // Update chat title (would need a mutation for this) }You already know whether you created
currentChatIdin this call—using that signal avoids race conditions.
238-240: Guard shape formessageslikely overfits; prefer array-or-emptyUnless your query returns a
{ messages: [...] }envelope, this might silently drop data. Ifapi.messages.getChatMessagesreturnsMessage[](typical Convex pattern), use a simple array guard.- if (messages && typeof messages === 'object' && 'messages' in messages && Array.isArray(messages.messages)) { - return messages.messages; - } + if (Array.isArray(messages)) return messages; return [];If your server does return
{ messages }, ignore this.
288-289: Same guard issue forchatspropSimilar note here: Convex queries typically return arrays. If that’s your case, simplify to avoid shape drift.
- chats={chats && typeof chats === 'object' && 'chats' in chats && Array.isArray(chats.chats) ? chats.chats : []} + chats={Array.isArray(chats) ? chats : []}
344-369: External search results — restrict URL schemesYou render arbitrary URLs from the web. Add a tiny guard to only allow http(s) links to avoid accidental
javascript:navigation.- <a href={result.url} target="_blank" rel="noopener noreferrer" + <a href={/^https?:\/\//i.test(result.url) ? result.url : '#'} + target="_blank" rel="noopener noreferrer" className="text-xs text-blue-400 hover:text-blue-300 transition-colors">
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📒 Files selected for processing (4)
package.json(2 hunks)src/components/EnhancedChatInterface.tsx(4 hunks)src/hooks/useUsageTracking.ts(1 hunks)src/lib/ai.ts(12 hunks)
🧰 Additional context used
📓 Path-based instructions (7)
**/{pages,components}/**/*.tsx
📄 CodeRabbit inference engine (.cursor/rules/authentication-patterns.mdc)
Handle all authentication states in components by showing a loading spinner when loading, a sign-in prompt when unauthenticated, and protected content when authenticated.
Files:
src/components/EnhancedChatInterface.tsx
**/*ChatInterface*.tsx
📄 CodeRabbit inference engine (.cursor/rules/chat-ui-patterns.mdc)
Chat interfaces should follow the specified component structure: state management for selectedChatId, input, isTyping; useQuery for chats and messages; layout with ChatSidebar and ChatArea components.
Files:
src/components/EnhancedChatInterface.tsx
**/*.{ts,tsx}
📄 CodeRabbit inference engine (.cursor/rules/convex-security.mdc)
**/*.{ts,tsx}: All Convex queries and mutations MUST use proper authentication. Never accept user IDs from client parameters.
Always verify user owns the data before allowing access.
Use the authenticated user's identity.subject for user references.
Implement proper error messages that don't leak information.
Authentication verification in every function.
Authorization checks for data ownership.
Input validation and sanitization.
Error handling without information leakage.
**/*.{ts,tsx}: Use Sonner for toast notifications to provide consistent user feedback, including success, error, and loading states.
Always handle errors gracefully using try-catch blocks in asynchronous functions, providing user feedback and logging errors.
Provide specific, actionable error messages for form validation errors using toast notifications.
Handle common network error scenarios in catch blocks, providing appropriate toast messages for network errors, authentication errors, and unexpected errors.If using TypeScript, use an enum to store flag names.
Strict TypeScript must be used with no 'any' types allowed
**/*.{ts,tsx}: NEVER useanytype - use proper TypeScript types
Useunknownfor truly unknown data types
Implement proper interface definitions
Do not use empty interfaces; use a type alias instead (e.g.,type InputProps = ...instead ofinterface InputProps {})
All function parameters must be typed
All return types should be explicit for public APIs
Use proper generic constraints
Implement discriminated unions for state management
Use proper interface definitions for error handling types (e.g.,interface ValidationResult { isValid: boolean; error?: string; })
**/*.{ts,tsx}: Always sanitize user input before storing or displaying using a sanitization function likesanitizeText.
Implement comprehensive input validation, including length checks and detection of malicious patterns, as shown in thevalidateInputfunction.
Define and use security constants suc...
Files:
src/components/EnhancedChatInterface.tsxsrc/hooks/useUsageTracking.tssrc/lib/ai.ts
**/*.tsx
📄 CodeRabbit inference engine (.cursor/rules/error-handling.mdc)
**/*.tsx: Always provide loading feedback to users during asynchronous operations.
Use proper error boundaries to handle component crashes and display user-friendly error UI.Use proper React component typing (e.g.,
const MyComponent: React.FC<Props> = ...)
**/*.tsx: Use theSafeTextReact component for all user-generated content to ensure safe text display.
NEVER usedangerouslySetInnerHTMLwith user content.
NEVER use direct string interpolation in HTML with user content.
Files:
src/components/EnhancedChatInterface.tsx
**/*.{js,jsx,ts,tsx}
📄 CodeRabbit inference engine (.cursor/rules/posthog-integration.mdc)
**/*.{js,jsx,ts,tsx}: Use a consistent naming convention for this storage. enum/const object members should be written UPPERCASE_WITH_UNDERSCORE.
If a custom property for a person or event is at any point referenced in two or more files or two or more callsites in the same file, use an enum or const object, as above in feature flags.
Files:
src/components/EnhancedChatInterface.tsxsrc/hooks/useUsageTracking.tssrc/lib/ai.ts
src/components/**/*.tsx
📄 CodeRabbit inference engine (.cursor/rules/project-overview.mdc)
Input sanitization and validation must be implemented throughout the codebase to provide XSS protection
Files:
src/components/EnhancedChatInterface.tsx
src/**/*.tsx
📄 CodeRabbit inference engine (CLAUDE.md)
src/**/*.tsx: Use React Hook Form with Zod validation for client-side forms
Prevent XSS by sanitizing any user-generated content before rendering (avoid unsafe HTML, or sanitize it)
Implement proper error handling with typed error boundaries in React
Files:
src/components/EnhancedChatInterface.tsx
🧠 Learnings (4)
📚 Learning: 2025-08-09T23:03:01.787Z
Learnt from: CR
PR: otdoges/zapdev#0
File: .cursor/rules/chat-ui-patterns.mdc:0-0
Timestamp: 2025-08-09T23:03:01.787Z
Learning: Applies to **/*.{tsx} : Show typing indicators during AI responses in chat interfaces.
Applied to files:
src/components/EnhancedChatInterface.tsx
📚 Learning: 2025-08-09T23:03:01.787Z
Learnt from: CR
PR: otdoges/zapdev#0
File: .cursor/rules/chat-ui-patterns.mdc:0-0
Timestamp: 2025-08-09T23:03:01.787Z
Learning: Applies to **/*ChatInterface*.tsx : Chat interfaces should follow the specified component structure: state management for selectedChatId, input, isTyping; useQuery for chats and messages; layout with ChatSidebar and ChatArea components.
Applied to files:
src/components/EnhancedChatInterface.tsx
📚 Learning: 2025-08-09T23:03:01.787Z
Learnt from: CR
PR: otdoges/zapdev#0
File: .cursor/rules/chat-ui-patterns.mdc:0-0
Timestamp: 2025-08-09T23:03:01.787Z
Learning: Applies to **/*.{tsx} : Ensure proper keyboard navigation throughout the chat interface for accessibility.
Applied to files:
src/components/EnhancedChatInterface.tsx
📚 Learning: 2025-08-09T23:03:01.787Z
Learnt from: CR
PR: otdoges/zapdev#0
File: .cursor/rules/chat-ui-patterns.mdc:0-0
Timestamp: 2025-08-09T23:03:01.787Z
Learning: Applies to **/*.{tsx} : Implement auto-scroll to bottom on new messages in chat interfaces.
Applied to files:
src/components/EnhancedChatInterface.tsx
🧬 Code graph analysis (3)
src/components/EnhancedChatInterface.tsx (1)
scripts/test-ai-only.js (2)
streamResult(86-86)chunks(87-87)
src/hooks/useUsageTracking.ts (2)
src/lib/auth-token.ts (1)
authTokenManager(34-34)api-dev-server.ts (2)
json(463-465)json(598-609)
src/lib/ai.ts (3)
src/lib/ai-utils.ts (3)
withRetry(97-157)monitorAIOperation(250-308)withTimeout(13-20)src/lib/usage-service.ts (1)
recordAIConversation(80-98)src/lib/ai-monitoring.ts (1)
aiMonitoring(366-366)
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🔇 Additional comments (2)
package.json (2)
39-39: New dependency@ai-sdk/vercel— confirm intent and peer depsLooks fine to add, but please verify:
- It’s actually referenced in code in this PR or near-future work, otherwise it bloats install size.
- Peer dependencies (if any) are satisfied and versions align with
ai@^5.0.11.If unused today, I can open a follow-up chore PR to wire or remove it—your call.
133-133: Confirmed: @hookform/resolvers v5.1.0+ fully supports Zod v4You can safely upgrade to
@hookform/resolvers@^5.1.0(or newer) and continue usingzodResolverwithout changes—v5.1.0 added first-class Zod 4 support while retaining Zod 3 compatibility (mail-archive.com).Please note that Zod v4 introduced some breaking changes from v3. Review and adjust any schemas that rely on removed or changed APIs:
- Unified error API under a single
errorparam; droppedinvalid_type_error/required_errorand renamederrorMap→error(zod.dev).- Refine no longer accepts type-predicate functions for narrowing, and
ctx.pathis no longer populated in refinements..strict(),.passthrough(), and.strip()are deprecated in favor ofz.strictObject(),z.looseObject(), and default stripping.z.record()single-argument usage removed; usez.partialRecord()for optional keys, and new enum/exhaustive record behavior.- Intersection errors now throw a regular
Errorinstead of a ZodError for unmergeable types.- Internal API changes (e.g. moved
._def→._zod.def, renamed issue types underz.core.$ZodIssue*) won’t affect typical resolver usage.For a full list of Zod v4 migration notes, see the official guide: https://zod.dev/v4/changelog.
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Summary
/trpc/to/hono/trpc/Se.mapundefined errors in chat and message handlingTechnical Details
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